Classification with PyTorch.
MIT License
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xceptio...
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, V...
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New...
🧠 ResNet: Deep Residual Learning for Image Recognition
Official Implementation of 'Fast AutoAugment' in PyTorch.
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
Collection of SOTA efficient computer vision models for embedded applications, with pre-trained w...
ResNeSt: Split-Attention Networks
A PyTorch implementation of DenseNet.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow...
95.47% on CIFAR10 with PyTorch